A New Adaptive Redundancy Control Algorithm For VoIP Applications


Assem, Haytham and Malone, David (2013) A New Adaptive Redundancy Control Algorithm For VoIP Applications. In: Global Communications Conference (GLOBECOM), 2013. IEEE, pp. 1323-1328. ISBN 9781479913534

[img]
Preview
Download (944kB) | Preview



Add this article to your Mendeley library


Abstract

Packet loss is one of the most important factors in degrading Voice over IP (VoIP) perceived call quality. Forward Error Correction (FEC) is a powerful technique for transmitting audio streams over the IP network to decrease the effect of packet loss. Although these method reduces the effect of packet loss, it increases the bandwidth and delay in order to recover from the lost packets. In this paper, we propose a new adaptive FEC mechanism for voice calls based on the generated codewords from a Reed-Solomon (RS) encoder. This mechanism chooses the optimum RS code from a family of codes to improve the conversational call quality. Our proposed mechanism is able to switch between different codes during the call to account for the variation of the network conditions including packet loss and delay. We have deduced the proposed algorithm by performing subjective mean opinion score (MOS) testing based on an interactive assessment tests. We show that our adaptive algorithm outperforms fixed RS codes under highly varying network conditions.

Item Type: Book Section
Additional Information: The definitive version of this article is available at DOI: 10.1109/GLOCOM.2013.6831257
Keywords: VoIP; FEC; Reed-Solomon; Call quality; MOS;
Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Faculty of Science and Engineering > Mathematics and Statistics
Item ID: 6238
Identification Number: 10.1109/GLOCOM.2013.6831257
Depositing User: Dr. David Malone
Date Deposited: 07 Jul 2015 15:41
Publisher: IEEE
Refereed: Yes
Funders: Science Foundation Ireland (SFI)
URI:

Repository Staff Only(login required)

View Item Item control page

Document Downloads

More statistics for this item...